Job Description

Job Title: Gen AI Engineer

Location: Boston, MA

Duration: Long Term

Job Description:

Project: Developing generative AI-based web applications using OpenAI and other providers, integrating with Databricks, SQL, and Python, and establishing CIB DevOps frameworks.

Candidate Value Proposition

The successful candidate will have the opportunity to work directly with investment teams, building cutting-edge technology in a crucial industry, and developing innovative applications within generative AI.

Roles and Responsibilities

• Design and Develop Solutions: Architect, design, and implement scalable, robust, and secure applications using Azure cloud services. Develop application features and functionalities using C#, Node.js, or Python, ensuring high performance and responsiveness. (Expertise in at least one of these languages is required.)
• AI Integration: Utilize Azure AI services to integrate machine learning and AI capabilities into applications, enhancing functionality and user experience. (Familiarity with Azure AI services is needed.)
• Optimize LLM API Interactions: Use prompt engineering, retrieval-augmented generation (RAG), context management, and performance tuning.
• Code Quality / Code Reviews: Write clean, maintainable, and efficient code following industry best practices and coding standards.
• CI/CD Pipelines: Set up and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate the build, test, and deployment processes.
• Documentation: Create and maintain comprehensive documentation for code, APIs, and system architecture.

Candidate Requirements / Must-Have Skills

1. 6-10+ years of experience in software development, with strong object-oriented programming and design principles.
2. Experience working with LLMs and related AI frameworks (e.g., LangChain, Vector Databases, RAG).
3. Experience with API development and integration (RESTful APIs, GraphQL, cloud-based services).
4. Knowledge of relational and NoSQL document databases.
5. Exposure to Docker and Kubernetes container orchestration is a plus.
6. Experience deploying solutions in cloud environments (AWS, Azure, GCP, Kubernetes, Serverless).

Soft Skills Required

• Strong problem-solving and analytical skills.
• Excellent communication and cross-functional collaboration skills.
• Passion for AI innovation and automation.

Nice-to-Have Skills

1. Experience in financial services and investments.

Job Tags

Similar Jobs